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Michael D. Brown

dblp:01/3339 · DBLP profile ↗
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4ranked-venue papers
2as first author
3since 2021 · last 2024
0000-0002-5289-0856ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 2 · 1 first-author · 2 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
3 papers
Program analysis · 50% Software maintenance and evolution · 26% Compilers and program optimization · 17%
Network and information security
2 papers
Systems and software security · 100%

Topics — the 9 heaviest of 10, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software maintenance and evolution › software reengineering
software debloating
0.812024
A Broad Comparative Evaluation of Software Debloating Tools · USENIX Security Symposium 2024
Systems and software security
vulnerability discovery
0.712023
VulChecker: Graph-based Vulnerability Localization in Source Code · USENIX Security Symposium 2023
Systems and software security › vulnerability discovery
vulnerability localization
0.712023
VulChecker: Graph-based Vulnerability Localization in Source Code · USENIX Security Symposium 2023
Program analysis
graph-based analysis
0.712023
VulChecker: Graph-based Vulnerability Localization in Source Code · USENIX Security Symposium 2023
Program analysis
static analysis
0.712023
VulChecker: Graph-based Vulnerability Localization in Source Code · USENIX Security Symposium 2023
Systems and software security › exploitation
code reuse attack
0.512021
Not so fast: understanding and mitigating negative impacts of compiler optimizations on code reuse gadget sets · Proc. ACM Program. Lang. 2021
Systems and software security › exploitation › code reuse attack
return-oriented programming
0.512021
Not so fast: understanding and mitigating negative impacts of compiler optimizations on code reuse gadget sets · Proc. ACM Program. Lang. 2021
Compilers and program optimization
compiler optimization
0.512021
Not so fast: understanding and mitigating negative impacts of compiler optimizations on code reuse gadget sets · Proc. ACM Program. Lang. 2021
Program analysis
binary analysis
0.112021
Not so fast: understanding and mitigating negative impacts of compiler optimizations on code reuse gadget sets · Proc. ACM Program. Lang. 2021

Methods — techniques the papers use, named apart from their topics

program dependence graph · 1.3graph neural network · 1.3differential binary analysis · 1.0binary recompilation · 1.0
YearPublicationVenuePosition
2024 A Broad Comparative Evaluation of Software Debloating Tools
Michael D. Brown, Adam Meily, Brian Fairservice, Akshay Sood, Jonathan Dorn, Eric Kilmer, Ronald Eytchison
USENIX Security Symposium1
2023 VulChecker: Graph-based Vulnerability Localization in Source Code
Yisroel Mirsky, George Macon, Michael D. Brown, Carter Yagemann, Matthew Pruett, Evan Downing, J. Sukarno Mertoguno, Wenke Lee
USENIX Security Symposium3
2021 Not so fast: understanding and mitigating negative impacts of compiler optimizations on code reuse gadget sets
abstract
Despite extensive testing and correctness certification of their functional semantics, a number of compiler optimizations have been shown to violate security guarantees implemented in source code. While prior work has shed light on how such optimizations may introduce semantic security weaknesses into programs, there remains a significant knowledge gap concerning the impacts of compiler optimizations on non-semantic properties with security implications. In particular, little is currently known about how code generation and optimization decisions made by the compiler affect the availability and utility of reusable code segments called gadgets required for implementing code reuse attack methods such as return-oriented programming. In this paper, we bridge this gap through a study of the impacts of compiler optimization on code reuse gadget sets. We analyze and compare 1,187 variants of 20 different benchmark programs built with two production compilers (GCC and Clang) to determine how their optimization behaviors affect the code reuse gadget sets present in program variants with respect to both quantitative and qualitative metrics. Our study exposes an important and unexpected problem; compiler optimizations introduce new gadgets at a high rate and produce code containing gadget sets that are generally more useful to an attacker than those in unoptimized code. Using differential binary analysis, we identify several undesirable behaviors at the root of this phenomenon. In turn, we propose and evaluate several strategies to mitigate these behaviors. In particular, we show that post-production binary recompilation can effectively mitigate these behaviors with negligible performance impacts, resulting in optimized code with significantly smaller and less useful gadget sets.
Michael D. Brown, Matthew Pruett, Robert Bigelow, Girish Mururu, Santosh Pande
Proc. ACM Program. Lang.1
1982 An algorithm for connected word recognition
abstract
The principles of an efficient one-pass dynamic programming whole-word pattern matching algorithm for the recognition of spoken sequences of connected words are described. Particular attention is given to the technique for keeping track of word-sequence decisions, which may be constrained by a finite-state syntax. Some extensions of the technique are discussed.
John S. Bridle, Michael D. Brown, Richard M. Chamberlain
ICASSP2